Institute for Engineering and Technology Innovation (InETI)
The John Tyndall Institute (JTI) is a specialist research centre within the University of Lancashire's Institute for Engineering and Technology Innovation (InETI). Established in 2007, the Institute focuses on nuclear engineering, computational mechanics and advanced engineering technologies.
Originally emerging from the University's internationally recognised Centre for Materials Science, the Institute has expanded its expertise from nuclear engineering simulation into a broad range of engineering, industrial and computational applications.
The LinkedIn Group Lancashire - In and About has been created to connect the people of Lancashire and beyond. You can also link to the LinkedIn profile Lancashire - In and About.
Research supporting nuclear power generation, fuel cycle technologies, safety and decommissioning. Investigation of uranium processing, fuel fabrication, storage, transport, reprocessing and waste management.Development of methods and technologies that improve the safety, reliability and efficiency of nuclear operations. The LinkedIn Group Nuclear Science and Engineering has been created to connect the people interested in the renewable energy field. You can also link to the LinkedIn profile Nuclear Scientist/Engineer.
Convergence of smart grids, cyber security, renewable and nuclear energy systems, and intelligent digital infrastructure. Developsing secure, resilient, and intelligent energy networks by combining power engineering, communications, artificial intelligence, and cyber-physical systems. The LinkedIn Group Simulation in Energy and Environment has been created to connect the people interested in energy. The LinkedIn Group Simulation of Electrical/Electronic Circuits, Devices, Signals and Fields has been created to connect the people interested in eecrical circuits, signals and/or fields.
Space systems engineering, advanced aircraft design, guidance and control, and autonomous aerospace systems, combining computational modelling, optimisation, artificial intelligence, and systems engineering to develop innovative solutions for future air and space vehicles. The LinkedIn Group Aerospace Engineering Innovation has been created to connect the people interested in the aerospace field. You can also link to the LinkedIn profile Aerospace Engineer.
Applying advanced mathematical and computational techniques to understand how sound is generated, propagated, scattered and controlled in complex environments. Acoustics expertise is particularly recognised in the field of mathematical acoustics, where theoretical and computational approaches are used to solve challenging problems in aerospace, underwater environments and electroacoustic engineering. The LinkedIn Group Computational Acoustics has been created to connect the people interested in the computational acoustics field. You can also link to the LinkedIn profile Acoustics Research and Development.
Materials and surface engineering research focusing on advanced surface coatings and wear-resistant materials for demanding engineering applications, to reduce friction, wear, and corrosion by developing innovative surface treatments and tribological coatings that improve the durability, efficiency, and reliability of mechanical components. The LinkedIn Group Tribology R&D has been created to connect the people interested in the tribology field.
Innovative methods of mathematics education, focussing on the use of technologies. The websites www.mathematics.me.uk and www.numerical-methods.com have been developed to publish on-line resources on mathematics education. The LinkedIn Group Mathematics Education has been created to connect the people interested in mathematics education. You can also link to the LinkedIn profile Mathematical Modeller. The LinkedIn Group Numerical Methods has been created to connect the people interested in the numerical mathematics field. You can also link to the LinkedIn profile Numerical Analyst.
Computational mechanics is one of the Institute's major areas of expertise. This interdisciplinary field combines engineering, applied mathematics, numerical analysis and computer science to simulate and solve complex physical problems.
Computational mechanics links to the are of compuaional acoustics and there is a particular interest in the boundary element method. The LinkedIn Group Boundary Element Method has been created to connect the people interested in this method.Researchers use advanced computational techniques to model the behaviour of engineering systems, improve design processes and optimise operational performance across multiple sectors.
The LinkedIn Group Computational Mechanics Research has been created to connect the people interested in the computational mechanics field.
The John Tyndall Institute delivers continuing professional development (CPD) programmes for the nuclear and engineering sectors. These courses are developed in collaboration with industry partners and support workforce development across the UK.
The Institute contributes to technological innovation within the nuclear and engineering sectors through applied research, knowledge exchange and industrial collaboration.
Research outcomes support safer nuclear operations, improved energy systems, advanced simulation methodologies and more efficient engineering solutions for industry.